Health systems plan for ‘digital equity’ – Becker’s Hospital Review

Like many health systems, uchicago drug is experimenting with artificial intelligence. There are external partners and internal team investigating cases of use to solve important problems and evaluate returns on investment.

Opportunities are endless; But there are risks. Even after evaluating the AI ​​solution and finding it, it resolves a true pain point for the system, cheng-kai, MD, Chief Medical Information Officer at Euchicago Medicine, said that his team still has a very thoughtful process to validate AI.

“We look for accuracy, perfection and all kinds of evaluation around the effectiveness of AI,” he said during an interview with “Baker’s Healthcare Podcast”. “There are also many risk assessments, especially with a lot of cyber security risk nowadays. We ensure that we are reviewing this AI properly to adjust their risk levels in a proper way whether the use of AI is susceptible or not susceptible and high or low risk.”

There is also a continuous monitoring of AI for continuous accurate performance in the health system.

“The health system is constantly changing. All these changes, without care of spending on new units, constructing a new hospital, adding additional outpatient sites, all potentially changes that AI model works,” Dr. Cao said. “We want it to have some row’s eye.”

The AI ​​governance process includes leaders of data science, analytics, informatics, security, privacy and other stakeholders to ensure new technology roll-outs and monitoring. Uchicago Medicine formed the center for digital health and AI employment in clinical care for better results and patient experience to lead to digital changes.

Dr. Cao said, “When we develop this technique, we are taking a very thoughtful approach.” “We talk about the patient community that we serve. It is not a digitally intelligent population. So we ensure that every time we roll out something, we will always have a digital equity. We want to ensure that all the things we deploy, all the patients are benefiting the population, perhaps not all are all through the same place, but we always have a way to ensure that we are always a way to ensure that all the new solutions are not all. Navigate

Not all patients have digital devices that they require home care and communication with providers. Uchicago Medicine has progressed in helping patients to secure those devices since epidemic, but they are still working on improving the process.

“Now with AI, there is even more to think about digital equity, such as gender, breed, population, etc. based on the bias,” Dr. Cao said. “AI uses how to be properly governed to ensure that we are free from prejudices or moral concerns? This would be the second challenge that we need to constantly test and take care of our processes.”

Uchicago has been trying to solve equity challenges over the years to close the interval for medicine care. New technology may make a difference.

“How can we use these devices correctly, in fact some of these gaps to reduce and improve things, not in other ways?” Dr. Cao said. “This is just something that we need to be consistently careful when we march forward.”

There is a continuous current of new companies and uses cases for AI in healthcare, and many warn that doctors using AI will replace physicians who do not use it. The future will include more AI integration and automation. How can a doctor prepare?

“What we want to do is to ensure that we increase AI literacy in our institution. We want to train people to know how to use AI best,” Dr. Cao said. “AI is not correct. We are trained to understand them what is the count of posting, what is the limit, what we mean by AI hallucinations. Meanwhile, with all these, we are also able to take advantage of AI.

Dr. Cao is building an Hipaa-compliance generative AI platform that is safe for internal use and will allow Uchicago employees and physicians to upload information about patients and execute some tasks, including sending messages to send to various literacy levels or sending messages to different literacy levels, which can improve communication.

His team is also developing modules to draft the refusal letters of appeal and answer questions about policies and procedures. He hopes that the stage will be prepared in the next few months and then combined it with the communication and education of the employees about AI, as well as instructions and AI regime.

Dr. Cao said, “I am going to spend a lot of time to help it stand and think of making different use cases, and train people to use it.” “We are really going to improve a lot of efficiency issues with us and actually allow people to do things that are at the top of their license. Let the AI ​​do repetitive tasks or something that is less challenging in terms of complexity or originality. Reserve all your energy for something that needs and AI can help you save time.”